Overview
Who this competition fits
Advanced practitioners with experience in general machine learning. Requires strong technical foundations and comfort with complex ML pipelines.
Read the original official blurb
在个人计算机领域，x86架构广泛应用于台式机、笔记本电脑和平板电脑等，能够满足日常计算需求，支持各种操作系统和应用软件。同时，x86架构也着很多优势包括：云计算和虚拟化、人工智能和机器学习、高可靠性和安全性、高效能计算等。OpenHarmony也是是面向全场景、全连接、全智能时代，基于开源的方式，搭建一个智能终端设备操作系统的框架和平台，促进万物互联产业的繁荣发展。以x86架构和OpenHarmony的结合，使得OpenHarmony的生态建设有了更多的可能性与发展空间。 1、本赛题仅支持基于Intel的i3/i5/i7的CPU的x86架构的OpenHarmony的系统级开发与应用开发。 2、本赛题支持OpenHarmony版本必须是3.2Release或者更新的4.0Release版本。 Official category: 实战竞技赛. Organizers: 鸿湖万联（江苏）科技发展有限公司. Participants: 1999.
Preparation
From registration to a first submission
- 01
Python
- 02
scikit-learn or similar ML library
- 03
data analysis with pandas
Before you commit: Requires solid machine learning fundamentals and good experimental methodology. The competitive landscape is strong, with many experienced teams.
Source
How this page was assembled
Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.
- Official competition page
- OpenAtom
- Last checked
- Jan 26, 2024